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ORCIDLyudmila Mihaylova
Lyudmila S. Mihaylova
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- affiliation: University of Sheffield, UK
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2020 – today
- 2025
[j84]Yueda Lin, Peng Wang, Zichen Wang, Sardar Ali, Lyudmila Mihaylova:
Towards automated remote sizing and hot steel manufacturing with image registration and fusion. J. Intell. Manuf. 36(1): 421-438 (2025)- [j83]Yueda Lin, Peng Wang, Zichen Wang, Sardar Ali, Lyudmila Mihaylova:
Correction: Towards automated remote sizing and hot steel manufacturing with image registration and fusion. J. Intell. Manuf. 36(1): 439 (2025) - 2024
- [j82]Bhoomika Gandhi
, Lyudmila Mihaylova, Sanja Dogramadzi:
Head tracking using an optical soft tactile sensing surface. Frontiers Robotics AI 11 (2024) - [j81]Jinjin Yan, Youbing Zheng, Jinquan Yang, Lyudmila Mihaylova, Weijie Yuan, Fuqiang Gu:
PLPF-VSLAM: An indoor visual SLAM with adaptive fusion of point-line-plane features. J. Field Robotics 41(1): 50-67 (2024) - [j80]Fethi Candan, Aykut Beke, Mahdi Mahfouf, Lyudmila Mihaylova:
A Real-time Fuzzy Interacting Multiple-Model Velocity Obstacle Avoidance Approach for Unmanned Aerial Vehicles. J. Intell. Robotic Syst. 110(2): 61 (2024) - [j79]Shenglin Wang, Jingqiong Zhang, Peng Wang, James Law, Radu Calinescu, Lyudmila Mihaylova:
A deep learning-enhanced Digital Twin framework for improving safety and reliability in human-robot collaborative manufacturing. Robotics Comput. Integr. Manuf. 85: 102608 (2024) - [j78]Giuseppina Carannante, Nidhal Bouaynaya, Ghulam Rasool, Lyudmila Mihaylova:
BaSIS-Net: From Point Estimate to Predictive Distribution in Neural Networks - A Bayesian Sequential Importance Sampling Framework. Trans. Mach. Learn. Res. 2024 (2024) - [c151]Yi Liu, Xi Li, Le Yang, Lyudmila Mihaylova, Ji Li:
On the Gaussian Filtering for Nonlinear Dynamic Systems Using Variational Inference. FUSION 2024: 1-8 - [c150]Xingchi Liu, Lyudmila Mihaylova:
Active Sensing for Target Tracking: A Bayesian Optimisation Approach. FUSION 2024: 1-7 - [c149]Chenyi Lyu, Xingchi Liu, James Wright, Jordi Barr, Alasdair Hunter, Lyudmila Mihaylova:
Efficient Centralised and Decentralised Gaussian Process Approaches for Online Tracking within Stone Soup. FUSION 2024: 1-8 - [c148]João António, Lyudmila Mihaylova, Petia Georgieva:
Efficient News Synopsis Generation with T5 Transformers. IS 2024: 1-7 - [c147]Xingyu Liu, Esa Apriaskar, Lyudmila Mihaylova:
Deep Reinforcement Learning Method for Control of Mixed Autonomy Traffic Systems. MFI 2024: 1-6 - [e1]George Panoutsos, Mahdi Mahfouf, Lyudmila S. Mihaylova:
Advances in Computational Intelligence Systems - Contributions Presented at the 21st UK Workshop on Computational Intelligence, UKCI 2022, September 7-9, 2022, Sheffield, UK. Advances in Intelligent Systems and Computing 1454, Springer 2024, ISBN 978-3-031-55567-1 [contents] - [i20]Xingchi Liu, Lyudmila Mihaylova, Jemin George, Tien Pham:
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks. CoRR abs/2409.07652 (2024) - [i19]Tianhao Zhang, Heather J. McCourty, Berardo M. Sanchez-Tafolla, Anton Nikolaev, Lyudmila S. Mihaylova:
MorphoSeg: An Uncertainty-Aware Deep Learning Method for Biomedical Segmentation of Complex Cellular Morphologies. CoRR abs/2409.17110 (2024) - [i18]Tianhao Zhang, Zhixiang Chen, Lyudmila S. Mihaylova:
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection. CoRR abs/2410.20631 (2024) - 2023
- [j77]Fethi Candan, Omer Faruk Dik, Tufan Kumbasar, Mahdi Mahfouf, Lyudmila Mihaylova:
Real-Time Interval Type-2 Fuzzy Control of an Unmanned Aerial Vehicle with Flexible Cable-Connected Payload. Algorithms 16(6): 273 (2023) - [j76]Sarah Edwards, Rui Zhang, Rob Worley, Lyudmila Mihaylova, Jonathan M. Aitken, Sean R. Anderson:
A robust method for approximate visual robot localization in feature-sparse sewer pipes. Frontiers Robotics AI 10 (2023) - [j75]Jingxuan Su, Sean R. Anderson, Mahed Javed, Charoenchai Khompatraporn, Apinanthana Udomsakdigool, Lyudmila Mihaylova:
Plant leaf deep semantic segmentation and a novel benchmark dataset for morning glory plant harvesting. Neurocomputing 555: 126609 (2023) - [j74]Xingchi Liu, Mahsa Derakhshani, Lyudmila Mihaylova, Sangarapillai Lambotharan:
Risk-Aware Contextual Learning for Edge-Assisted Crowdsourced Live Streaming. IEEE J. Sel. Areas Commun. 41(3): 740-754 (2023) - [j73]Xingchi Liu, Lyudmila Mihaylova, Jemin George, Tien Pham:
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking Over Wireless Sensor Networks. IEEE J. Sel. Top. Signal Process. 17(1): 295-310 (2023) - [j72]Rui Zhang, Rob Worley, Sarah Edwards, Jonathan M. Aitken, Sean R. Anderson, Lyudmila Mihaylova:
Visual Simultaneous Localization and Mapping for Sewer Pipe Networks Leveraging Cylindrical Regularity. IEEE Robotics Autom. Lett. 8(6): 3406-3413 (2023) - [j71]Muhammad Ali Shiwani, Timothy J. A. Chico, Fabio Ciravegna, Lyudmila Mihaylova:
Continuous Monitoring of Health and Mobility Indicators in Patients with Cardiovascular Disease: A Review of Recent Technologies. Sensors 23(12): 5752 (2023) - [j70]Haoran Cui, Lyudmila Mihaylova, Xiaoxu Wang, Shuaihe Gao:
Uncertainty-Aware Variational Inference for Target Tracking. IEEE Trans. Aerosp. Electron. Syst. 59(1): 258-273 (2023) - [j69]Chao Xue, Yulong Huang, Cheng Zhao, Xiaodong Li, Lyudmila Mihaylova, Youfu Li, Jonathon A. Chambers:
A Gaussian-Generalized-Inverse-Gaussian Joint-Distribution-Based Adaptive MSCKF for Visual-Inertial Odometry Navigation. IEEE Trans. Aerosp. Electron. Syst. 59(3): 2307-2328 (2023) - [c146]Yi Liu, Xi Li, Le Yang, Lyudmila Mihaylova, Yanbo Xue:
On the Approximation of the Quotient of Two Gaussian Densities for Multiple-Model Smoothing. FUSION 2023: 1-8 - [c145]Jingxuan Su, Sean R. Anderson, Lyudmila Mihaylova:
Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification. FUSION 2023: 1-7 - [c144]Tianhao Zhang, Shenglin Wang, Nidhal Bouaynaya, Radu Calinescu, Lyudmila Mihaylova:
Out-of-distribution Object Detection through Bayesian Uncertainty Estimation. FUSION 2023: 1-8 - [c143]Fethi Candan, Aykut Beke, Lyudmila Mihaylova:
An Interacting Multiple Model Approach Based on Maximum Correntropy Student's T Filter. IROS 2023: 3314-3321 - [d2]Rui Zhang, Rob Worley, Sarah Edwards, Jonathan M. Aitken, Sean R. Anderson, Lyudmila Mihaylova:
Video Data for Robot Localisation within Pipe Networks. IEEE DataPort, 2023
- [d1]Rui Zhang, Rob Worley, Sarah Edwards, Jonathan M. Aitken, Sean R. Anderson, Lyudmila Mihaylova:
Video Data for Robot Localisation within Pipe Networks. IEEE DataPort, 2023 - [i17]Tianhao Zhang, Shenglin Wang, Nidhal Bouaynaya, Radu Calinescu, Lyudmila Mihaylova:
Out-of-distribution Object Detection through Bayesian Uncertainty Estimation. CoRR abs/2310.19119 (2023) - 2022
- [j68]Tianhao Zhang, Waqas Aftab, Lyudmila Mihaylova, Christian Langran-Wheeler, Samuel Rigby, David I. Fletcher, Steve Maddock, Garry Bosworth:
Recent Advances in Video Analytics for Rail Network Surveillance for Security, Trespass and Suicide Prevention - A Survey. Sensors 22(12): 4324 (2022) - [j67]Fengchi Zhu, Yulong Huang, Chao Xue, Lyudmila Mihaylova, Jonathon A. Chambers:
A Sliding Window Variational Outlier-Robust Kalman Filter Based on Student's t-Noise Modeling. IEEE Trans. Aerosp. Electron. Syst. 58(5): 4835-4849 (2022) - [c142]Navin Cooray, Zhenglin Li, Jinzhuo Wang, Christine Lo, Mahnaz Arvaneh, Mkael Symmonds, Michele T. M. Hu, Maarten De Vos, Lyudmila S. Mihaylova:
Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography. FUSION 2022: 1-8 - [c141]Shidrokh Goudarzi, Wenwu Wang, Pei Xiao, Lyudmila Mihaylova, Simon J. Godsill:
UAV-enabled Edge Computing for Optimal Task Distribution in Target Tracking. FUSION 2022: 1-7 - [c140]Tassadaq Hussain, Wenwu Wang, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Lyudmila Mihaylova:
Deep Learning for Audio Visual Emotion Recognition. FUSION 2022: 1-8 - [c139]Xingchi Liu, Chenyi Lyu, Jemin George, Tien Pham, Lyudmila Mihaylova:
A Learning Distributed Gaussian Process Approach for Target Tracking over Sensor Networks. FUSION 2022: 1-8 - [c138]Yi Liu, Xi Li, Le Yang, Lyudmila Mihaylova, Yanbo Xue:
On the Fixed-Interval Smoothing for Jump Markov Nonlinear Systems. FUSION 2022: 1-8 - [c137]Chenyi Lyu, Xingchi Liu, Lyudmila Mihaylova:
Efficient Factorisation-based Gaussian Process Approaches for Online Tracking. FUSION 2022: 1-8 - [c136]Jinzheng Zhao, Peipei Wu, Xubo Liu, Yong Xu, Lyudmila Mihaylova, Simon J. Godsill, Wenwu Wang:
Audio-Visual Tracking of Multiple Speakers Via a PMBM Filter. ICASSP 2022: 5068-5072 - [c135]Fethi Candan, Aykut Beke, Chen Shen, Lyudmila Mihaylova:
An Interacting Multiple Model Correntropy Kalman Filter Approach for Unmanned Aerial Vehicle Localisation. INISTA 2022: 1-6 - [c134]Jingxuan Su, Sean R. Anderson, Lyudmila S. Mihaylova:
A Deep Learning Method with Cross Dropout Focal Loss Function for Imbalanced Semantic Segmentation. SDF 2022: 1-6 - [c133]Chenyi Lyu, Xingchi Liu, Lyudmila Mihaylova:
Review of Recent Advances in Gaussian Process Regression Methods. UKCI 2022: 226-237 - [c132]Chuhao Qin, Fethi Candan, Lyudmila Mihaylova, Evangelos Pournaras:
3, 2, 1, Drones Go! A Testbed to Take Off UAV Swarm Intelligence for Distributed Sensing. UKCI 2022: 576-587 - [i16]Chuhao Qin, Fethi Candan, Lyudmila S. Mihaylova, Evangelos Pournaras:
3, 2, 1, Drones Go! A Testbed to Take off UAV Swarm Intelligence for Distributed Sensing. CoRR abs/2208.05914 (2022) - 2021
- [j66]Jonathan M. Aitken, Mathew H. Evans, Rob Worley, Seamus Edwards, Rui Zhang, Tony J. Dodd, Lyudmila Mihaylova, Sean R. Anderson:
Simultaneous Localization and Mapping for Inspection Robots in Water and Sewer Pipe Networks: A Review. IEEE Access 9: 140173-140198 (2021) - [j65]Peng Wang, Lyudmila Mihaylova, Philippe Bonnifait, Philippe Xu, Jianwen Jiang:
Feature-refined box particle filtering for autonomous vehicle localisation with OpenStreetMap. Eng. Appl. Artif. Intell. 105: 104445 (2021) - [j64]Hayder M. Amer, Hayder A. A. Al-Kashoash, Shuang Ma, Mohammed J. Khami, Lyudmila Mihaylova:
Hybrid game approach-based channel congestion control for the Internet of Vehicles. IET Wirel. Sens. Syst. 11(1): 32-44 (2021) - [j63]Zhenglin Li, Lyudmila Mihaylova, Le Yang:
A deep learning framework for autonomous flame detection. Neurocomputing 448: 205-216 (2021) - [j62]Richard N. M. Rudd-Orthner, Lyudmila Mihaylova:
Deep ConvNet: Non-Random Weight Initialization for Repeatable Determinism, Examined with FSGM. Sensors 21(14): 4772 (2021) - [j61]Chen Shen, Lyudmila Mihaylova:
A flexible robust Student's t-based multimodel approach with maximum Versoria criterion. Signal Process. 182: 107941 (2021) - [j60]Peng Wang, Lyudmila Mihaylova, Said Munir, Rohit Chakraborty, Jikai Wang, Martin Mayfield, Khan Alam, Muhammad Fahim Khokhar, Daniel Coca:
A computationally efficient symmetric diagonally dominant matrix projection-based Gaussian process approach. Signal Process. 183: 108034 (2021) - [j59]Lyudmila Mihaylova, Gökhan Inalhan:
From the Editor-in-Chief FEBRUARY 2021. IEEE Trans. Aerosp. Electron. Syst. 57(1): 3-4 (2021) - [j58]Waqas Aftab, Lyudmila Mihaylova:
A Learning Gaussian Process Approach for Maneuvering Target Tracking and Smoothing. IEEE Trans. Aerosp. Electron. Syst. 57(1): 278-292 (2021) - [j57]Almudena Buelta, Alberto Olivares, Ernesto Staffetti, Waqas Aftab, Lyudmila Mihaylova:
A Gaussian Process Iterative Learning Control for Aircraft Trajectory Tracking. IEEE Trans. Aerosp. Electron. Syst. 57(6): 3962-3973 (2021) - [c131]Giuseppina Carannante, Nidhal C. Bouaynaya, Lyudmila Mihaylova:
An Enhanced Particle Filter for Uncertainty Quantification in Neural Networks. FUSION 2021: 1-7 - [c130]Mahed Javed, Lyudmila Mihaylova, Nidhal Bouaynaya:
Variance Guided Continual Learning in a Convolutional Neural Network Gaussian Process Single Classifier Approach for Multiple Tasks in Noisy Images. FUSION 2021: 1-8 - [c129]Xi Li, Yi Liu, Le Yang, Lyudmila Mihaylova, Bing Deng:
Enhanced Fixed-Interval Smoothing for Markovian Switching Systems. FUSION 2021: 1-8 - [c128]Shenglin Wang, Peng Wang, Lyudmila Mihaylova, Matthew Hill:
Real-time Activation Pattern Monitoring and Uncertainty Characterisation in Image Classification. FUSION 2021: 1-7 - [c127]Yifei Zhu, Peng Wang, Lyudmila Mihaylova:
A Convolutional Neural Network Combined with a Gaussian Process for Speed Prediction in Traffic Networks. MFI 2021: 1-7 - [c126]Rui Zhang, Mathew H. Evans, Rob Worley, Sean R. Anderson, Lyudmila Mihaylova:
Improving SLAM in Pipe Networks by Leveraging Cylindrical Regularity. TAROS 2021: 56-65 - [c125]Seamus Edwards, Lyudmila Mihaylova, Jonathan M. Aitken, Sean R. Anderson:
Toward Robust Visual Odometry Using Prior 2D Map Information and Multiple Hypothesis Particle Filtering. TAROS 2021: 188-192 - [c124]Y. Lin, Peng Wang, Ree Muroiwa, Simon Pike, Lyudmila Mihaylova:
Image Fusion for Remote Sizing of Hot High Quality Steel Sections. UKCI 2021: 357-368 - [i15]Youngjoo Kim, Peng Wang, Lyudmila Mihaylova:
Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction. CoRR abs/2103.02578 (2021) - [i14]Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova:
Robust Learning via Ensemble Density Propagation in Deep Neural Networks. CoRR abs/2111.05953 (2021) - 2020
- [j56]Hayder M. Amer, Hayder A. A. Al-Kashoash, Mohammed J. Khami, Martin Mayfield, Lyudmila Mihaylova:
Non-cooperative game based congestion control for data rate optimization in vehicular ad hoc networks. Ad Hoc Networks 107: 102181 (2020) - [j55]Ruilong Chen, Lyudmila Mihaylova, Hao Zhu, Nidhal C. Bouaynaya:
A Deep Learning Framework for Joint Image Restoration and Recognition. Circuits Syst. Signal Process. 39(3): 1561-1580 (2020) - [j54]Richard N. M. Rudd-Orthner, Lyudmila Mihaylova:
Repeatable determinism using non-random weight initialisations in smart city applications of deep learning. J. Reliab. Intell. Environ. 6(1): 31-49 (2020) - [j53]Yulong Huang, Yonggang Zhang, Yuxin Zhao, Lyudmila Mihaylova, Jonathon A. Chambers:
Robust Rauch-Tung-Striebel Smoothing Framework for Heavy-Tailed and/or Skew Noises. IEEE Trans. Aerosp. Electron. Syst. 56(1): 415-441 (2020) - [c123]Richard N. M. Rudd-Orthner, Lyudmila Mihaylova:
Non-Random Weight Initialisation in Deep Convolutional Networks Applied to Safety Critical Artificial Intelligence. DeSE 2020: 1-8 - [c122]Joshua Giles, Kai Keng Ang, Lyudmila Mihaylova, Mahnaz Arvaneh:
Weighted Transfer Learning of Dynamic Time Warped Data for Motor Imagery based Brain Computer Interfaces. EMBC 2020: 2977-2980 - [c121]Waqas Aftab, Lyudmila Mihaylova:
On the Impact of Different Kernels and Training Data on a Gaussian Process Approach for Target Tracking. FUSION 2020: 1-6 - [c120]Zhenglin Li, Mahnaz Arvaneh, Heather E. Elphick, Ruth N. Kingshott, Lyudmila S. Mihaylova:
A Dirichlet Process Mixture Model for Autonomous Sleep Apnea Detection using Oxygen Saturation Data. FUSION 2020: 1-8 - [c119]Yi Liu, Xi Li, Yanbo Xue, Stephen John Weddell, Le Yang, Lyudmila Mihaylova:
Outlier-Robust Schmidt-Kalman Filter Using Variational Inference. FUSION 2020: 1-8 - [c118]Peng Wang, Yueda Lin, Ree Muroiwa, Simon Pike, Lyudmila Mihaylova:
A Weighted Variance Approach for Uncertainty Quantification in High Quality Steel Rolling. FUSION 2020: 1-7 - [c117]Yifei Zhu, Alanna C. Green, Lingzhong Guo, Holly R. Evans, Lyudmila Mihaylova:
Machine Learning Approaches for Cancer Bone Segmentation from Micro Computed Tomography Images. FUSION 2020: 1-6 - [c116]Peng Wang, Nidhal C. Bouaynaya, Lyudmila Mihaylova, Jikai Wang, Qibin Zhang, Renke He:
Bayesian Neural Networks Uncertainty Quantification with Cubature Rules. IJCNN 2020: 1-7 - [c115]Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova:
Robust Learning via Ensemble Density Propagation in Deep Neural Networks. MLSP 2020: 1-6
2010 – 2019
- 2019
- [j52]Tariq Umer, Mubashir Husain Rehmani, Ahmed E. Kamal, Lyudmila Mihaylova:
Information and resource management systems for Internet of Things: Energy management, communication protocols and future applications. Future Gener. Comput. Syst. 92: 1021-1027 (2019) - [j51]Hao Zhu, Bin Guo, Ke Zou, Yongfu Li, Ka-Veng Yuen, Lyudmila Mihaylova, Henry Leung:
A Review of Point Set Registration: From Pairwise Registration to Groupwise Registration. Sensors 19(5): 1191 (2019) - [j50]Hao Zhu, Ke Zou, Yongfu Li, Ming Cen, Lyudmila Mihaylova:
Robust Non-Rigid Feature Matching for Image Registration Using Geometry Preserving. Sensors 19(12): 2729 (2019) - [j49]Kennedy J. Offor, Lubos Vaci, Lyudmila S. Mihaylova:
Traffic Estimation for Large Urban Road Network with High Missing Data Ratio. Sensors 19(12): 2813 (2019) - [j48]Allan De Freitas, Lyudmila Mihaylova, Amadou Gning, Marek Schikora, Martin Ulmke, Donka S. Angelova, Wolfgang Koch:
A Box Particle Filter Method for Tracking Multiple Extended Objects. IEEE Trans. Aerosp. Electron. Syst. 55(4): 1640-1655 (2019) - [j47]Le Yang, Ke Wang, Lyudmila Mihaylova:
Online Sparse Multi-Output Gaussian Process Regression and Learning. IEEE Trans. Signal Inf. Process. over Networks 5(2): 258-272 (2019) - [j46]Waqas Aftab, Roland Hostettler, Allan De Freitas, Mahnaz Arvaneh, Lyudmila Mihaylova:
Spatio-Temporal Gaussian Process Models for Extended and Group Object Tracking With Irregular Shapes. IEEE Trans. Veh. Technol. 68(3): 2137-2151 (2019) - [j45]James A. Douthwaite, Shiyu Zhao, Lyudmila S. Mihaylova:
Velocity Obstacle Approaches for Multi-Agent Collision Avoidance. Unmanned Syst. 7(1): 55-64 (2019) - [c114]Richard N. M. Rudd-Orthner, Lyudmila Mihaylova:
Non-Random Weight Initialisation in Deep Learning Networks for Repeatable Determinism. DESSERT 2019: 223-230 - [c113]Hao Zhu, Chunxia Tang, Allan De Freitas, Lyudmila Mihaylova:
A Maximum Likelihood Approach to Joint Groupwise Image Registration and Fusion by a Student-$t$ Mixture Model. FUSION 2019: 1-7 - [c112]Waqas Aftab, Lyudmila Mihaylova:
A Gaussian Process Regression Approach for Point Target Tracking. FUSION 2019: 1-8 - [c111]Md Asif Jalal, Waqas Aftab, Roger K. Moore, Lyudmila Mihaylova:
Dual Stream Spatio-Temporal Motion Fusion With Self-Attention For Action Recognition. FUSION 2019: 1-7 - [c110]Md Asif Jalal, Lyudmila Mihaylova, Roger K. Moore:
An End-to-End Deep Neural Network for Facial Emotion Classification. FUSION 2019: 1-7 - [c109]Xi Li, Yi Liu, Lyudmila Mihaylova, Le Yang, Steve Weddell, Fucheng Guo:
Enhanced Multiple Model GPB2 Filtering Using Variational Inference. FUSION 2019: 1-9 - [c108]Fodio S. Longman, Lyudmila Mihaylova, Le Yang, Konstantinos N. Topouzelis:
Multi-Band Image Fusion Using Gaussian Process Regression with Sparse Rational Quadratic Kernel. FUSION 2019: 1-8 - [c107]Adrian L. Ashley, Mahnaz Arvaneh, Lyudmila S. Mihaylova:
A Novel Three Dimensional Probability-based Classifier for Improving Motor Imagery-based BCI. ICASSP 2019: 1150-1153 - [c106]Danil Kuzin, Olga Isupova, Lyudmila Mihaylova:
Bayesian Neural Networks for Sparse Coding. ICASSP 2019: 2992-2996 - [c105]Joshua Giles, Kai Keng Ang, Lyudmila S. Mihaylova, Mahnaz Arvaneh:
A Subject-to-subject Transfer Learning Framework Based on Jensen-Shannon Divergence for Improving Brain-computer Interface. ICASSP 2019: 3087-3091 - [c104]Ahmed M. Azab, Lyudmila Mihaylova, Hamed Ahmadi, Mahnaz Arvaneh:
Robust Common Spatial Patterns Estimation Using Dynamic Time Warping to Improve BCI Systems. ICASSP 2019: 3897-3901 - [c103]Mingming Bai, Yulong Huang, Yonggang Zhang, Lyudmila Mihaylova, Jonathon A. Chambers:
A Novel Progressive Gaussian Approximate Filter with Variable Step Size Based on a Variational Bayesian Approach. ICASSP 2019: 5202-5206 - [c102]Youngjoo Kim, Peng Wang, Lyudmila Mihaylova:
Structural Recurrent Neural Network for Traffic Speed Prediction. ICASSP 2019: 5207-5211 - [c101]Richard N. M. Rudd-Orthner, Lyudmila Mihaylova:
An Algebraic Expert System with Neural Network Concepts for Cyber, Big Data and Data Migration. ISSPIT 2019: 1-6 - [c100]Mahed Javed, Lyudmila Mihaylova:
Leveraging Uncertainty in Adversarial Learning to Improve Deep Learning Based Segmentation. SDF 2019: 1-8 - [c99]Kennedy J. Offor, Peng Wang, Lyudmila Mihaylova:
Multi-Model Bayesian Kriging for Urban Traffic State Prediction. SDF 2019: 1-6 - [c98]Peng Wang, Yueda Lin, Ree Muroiwa, Simon Pike, Lyudmila Mihaylova:
Computer Vision Methods for Automating High Temperature Steel Section Sizing in Thermal Images. SDF 2019: 1-6 - [i13]Youngjoo Kim, Peng Wang, Lyudmila Mihaylova:
Structural Recurrent Neural Network for Traffic Speed Prediction. CoRR abs/1902.06506 (2019) - [i12]Komlan Atitey, Pavel Loskot, Lyudmila Mihaylova:
Variational Bayesian inference of hidden stochastic processes with unknown parameters. CoRR abs/1911.00757 (2019) - 2018
- [j44]Simon Rohou, Luc Jaulin, Lyudmila Mihaylova, Fabrice Le Bars, Sandor M. Veres:
Reliable non-linear state estimation involving time uncertainties. Autom. 93: 379-388 (2018) - [j43]Bryan (Byung-Gyu) Kim, Kye-Shin Lee, Lyudmila Mihaylova, Rajendra Prasath:
Special collection on recent advances in sensor-based smart car technology. Int. J. Distributed Sens. Networks 14(6) (2018) - [j42]Manaswi Chebiyyam, Rohit Desam Reddy, Debi Prosad Dogra, Harish Bhaskar, Lyudmila Mihaylova:
Motion anomaly detection and trajectory analysis in visual surveillance. Multim. Tools Appl. 77(13): 16223-16248 (2018) - [j41]Zhenglin Li, Lyudmila S. Mihaylova, Olga Isupova, Lucile Rossi:
Autonomous Flame Detection in Videos With a Dirichlet Process Gaussian Mixture Color Model. IEEE Trans. Ind. Informatics 14(3): 1146-1154 (2018) - [j40]